'''simple docstring'''




import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


__UpperCAmelCase					="sshleifer/bart-tiny-random"
__UpperCAmelCase					="patrickvonplaten/t5-tiny-random"




@require_torch
class        a__ (  unittest.TestCase					):






     @cached_property
     def   SCREAMING_SNAKE_CASE__  (					self						:						Union[str, Any]       ):





         """simple docstring"""



         return AutoConfig.from_pretrained(a       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						str       ):





         """simple docstring"""



         __lowerCamelCase      ,    *__lowerCamelCase            =    create_student_by_copying_alternating_layers(a    ,							tempfile.mkdtemp()    ,							e=1    ,							d=1       )
         self.assertEqual(student.config.num_hidden_layers    ,							1       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[int]       ):





         """simple docstring"""



         __lowerCamelCase      ,    *__lowerCamelCase            =    create_student_by_copying_alternating_layers(a    ,							tempfile.mkdtemp()    ,							e=1    ,							d=a       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						str       ):





         """simple docstring"""



         __lowerCamelCase      ,    *__lowerCamelCase            =    create_student_by_copying_alternating_layers(a    ,							tempfile.mkdtemp()    ,							e=1    ,							d=a       )
         self.assertEqual(student.config.encoder_layers    ,							1       )
         self.assertEqual(student.config.decoder_layers    ,							self.teacher_config.encoder_layers       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						Any       ):





         """simple docstring"""



         __lowerCamelCase      ,    *__lowerCamelCase            =    create_student_by_copying_alternating_layers(a    ,							tempfile.mkdtemp()    ,							e=1    ,							d=1       )
         self.assertEqual(student.config.encoder_layers    ,							1       )
         self.assertEqual(student.config.decoder_layers    ,							1       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						Dict       ):





         """simple docstring"""



         with self.assertRaises(a       ):
             create_student_by_copying_alternating_layers(a    ,							tempfile.mkdtemp()    ,							e=a    ,							d=a       )

'''simple docstring'''




def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:

    def count_of_possible_combinations(UpperCamelCase__							) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        return sum(count_of_possible_combinations(target - item							) for item in array							)

    return count_of_possible_combinations(UpperCamelCase__							)






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:

    def count_of_possible_combinations_with_dp_array(
        UpperCamelCase__							,    UpperCamelCase__							) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        if dp_array[target] != -1:
            return dp_array[target]
        __lowerCamelCase            =    sum(
            count_of_possible_combinations_with_dp_array(target - item							,    UpperCamelCase__							)
            for item in array							)
        __lowerCamelCase            =    answer
        return answer

    __lowerCamelCase            =    [-1] * (target + 1)
    return count_of_possible_combinations_with_dp_array(UpperCamelCase__							,    UpperCamelCase__							)






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:
    __lowerCamelCase            =    [0] * (target + 1)
    __lowerCamelCase            =    1

    for i in range(1							,    target + 1							):
        for j in range(UpperCamelCase__							):
            if i - array[j] >= 0:
                dp_array[i] += dp_array[i - array[j]]

    return dp_array[target]


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  __UpperCAmelCase					=3
  __UpperCAmelCase					=5
  __UpperCAmelCase					=[1, 2, 5]
  print(combination_sum_iv(n, array, target))
